List policy changes
list_policy_changesDated log of changes we have recorded to these companies' cancellation and return policies.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_policy_changesDated log of changes we have recorded to these companies' cancellation and return policies.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds that results are a chronological ('dated') log scoped to 'these companies', but says nothing about volume, pagination, or whether the log is complete or truncated.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single compact sentence that front-loads the key attribute ('dated log of changes') and spends no words on filler. Nothing could be removed without losing information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no parameters and no output schema, the description carries more burden than usual and leaves the return shape underspecified — it does not say what a log entry contains (date, policy field, old/new value) or how large the result set may be. 'These companies' is also ambiguous about scope. Adequate but with clear gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters, so there is no parameter semantics burden and the baseline of 4 applies. The description correctly implies the tool operates on the full set of companies with no filtering input.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states the resource precisely: a dated log of recorded changes to cancellation and return policies, which is clearly a historical/audit view rather than the current policy. It does not explicitly name how it differs from get_policy (current policy) or compare_return_windows, but the 'changes we have recorded' framing implicitly separates it from those siblings.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is only implied: an agent can infer it should call this when it needs the history of policy revisions rather than the current policy text. There is no explicit when-to-use statement, no exclusion, and no mention of get_policy as the alternative for current values.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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